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Autori principali: Yang, Meng, Wildemuth, Barbara M., Marchionini, Gary, Wilkens, Todd, Geisler, Gary, Hughes, Anthony, Gruss, Richard, Webster, Curtis
Natura: Recurso educativo Open Access
Lingua:en
Pubblicazione: 2003
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Accesso online:https://eric.ed.gov/?id=EJ678963
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author Yang, Meng
Wildemuth, Barbara M.
Marchionini, Gary
Wilkens, Todd
Geisler, Gary
Hughes, Anthony
Gruss, Richard
Webster, Curtis
author_facet Yang, Meng
Wildemuth, Barbara M.
Marchionini, Gary
Wilkens, Todd
Geisler, Gary
Hughes, Anthony
Gruss, Richard
Webster, Curtis
Yang, Meng
Wildemuth, Barbara M.
Marchionini, Gary
Wilkens, Todd
Geisler, Gary
Hughes, Anthony
Gruss, Richard
Webster, Curtis
collection Education Resources Information Center
contents Measuring User Performance during Interactions with Digital Video Collections. Yang, Meng Wildemuth, Barbara M. Marchionini, Gary Wilkens, Todd Geisler, Gary Hughes, Anthony Gruss, Richard Webster, Curtis Interaction Library Collections Measurement Techniques Performance Use Studies Users (Information) Proposes two general classes of user tasks-recognition tasks and tasks requiring inference-for which performance measures were developed. The measures include graphical object recognition, textual object recognition, action recognition, free-text gist determination, multiple-choice gist determination and visual gist determination. Results from two user studies applying these measures are also discussed. (Author/AEF)
format Recurso educativo Open Access
id eric_EJ678963
institution ERIC Institute of Education Sciences
language en
publishDate 2003
record_format eric
spellingShingle Measuring User Performance during Interactions with Digital Video Collections.
Yang, Meng
Wildemuth, Barbara M.
Marchionini, Gary
Wilkens, Todd
Geisler, Gary
Hughes, Anthony
Gruss, Richard
Webster, Curtis
Interaction
Library Collections
Measurement Techniques
Performance
Use Studies
Users (Information)
Measuring User Performance during Interactions with Digital Video Collections. Yang, Meng Wildemuth, Barbara M. Marchionini, Gary Wilkens, Todd Geisler, Gary Hughes, Anthony Gruss, Richard Webster, Curtis Interaction Library Collections Measurement Techniques Performance Use Studies Users (Information) Proposes two general classes of user tasks-recognition tasks and tasks requiring inference-for which performance measures were developed. The measures include graphical object recognition, textual object recognition, action recognition, free-text gist determination, multiple-choice gist determination and visual gist determination. Results from two user studies applying these measures are also discussed. (Author/AEF)
title Measuring User Performance during Interactions with Digital Video Collections.
topic Interaction
Library Collections
Measurement Techniques
Performance
Use Studies
Users (Information)
url https://eric.ed.gov/?id=EJ678963